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Volumn , Issue , 2005, Pages 99-104

Data cleaning using belief propagation

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; INFORMATION SYSTEMS;

EID: 85026920229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1077501.1077518     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 4
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. Gelatt, and M. Vecchi. Optimization by simulated annealing. In Science, vol. 220, no.4598, 1983.
    • (1983) Science , vol.220 , Issue.4598
    • Kirkpatrick, S.1    Gelatt, C.2    Vecchi, M.3
  • 5
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empiricial study
    • K. Murphy, Y. Weiss, and M. Jordan. Loopy belief propagation for approximate inference: An empiricial study. In Proc. Uncertainty in AI, 1999.
    • (1999) Proc. Uncertainty In, AI
    • Murphy, K.1    Weiss, Y.2    Jordan, M.3
  • 6
    • 85027416270 scopus 로고    scopus 로고
    • University of Washington
    • University of Washington. http://www.jisao.washington.edu/datasets/widmann/.
  • 8
    • 0001406440 scopus 로고
    • A mean-field theory learning algorithm for neural networks
    • C. Peterson and J. Anderson. A mean-field theory learning algorithm for neural networks. In Complex Systems, vol.1, 1987.
    • (1987) Complex Systems , vol.1
    • Peterson, C.1    Anderson, J.2
  • 10
    • 0028427322 scopus 로고
    • A Bayesian approach to image expansion for improved definition
    • R. Schultz and R. Stevenson. A bayesian approach to image expansion for improved definition. In IEEE Trans. Image Processing, 3(3), pp. 233-242, 1994.
    • (1994) IEEE Trans. Image Processing , vol.3 , Issue.3 , pp. 233-242
    • Schultz, R.1    Stevenson, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.